{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:JJZPN2VWSKTGYDGVBFZ6W2HRP5","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"8c86e40a1b54b248a926996d7a7aa26dd9326d0f090d876d4d309561ea783c51","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-04-26T00:59:09Z","title_canon_sha256":"afe55604361f4d6cab81e57fd508ac9ad93b748c90afc27a43bac1365f499a0f"},"schema_version":"1.0","source":{"id":"2606.19346","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.19346","created_at":"2026-06-19T16:12:22Z"},{"alias_kind":"arxiv_version","alias_value":"2606.19346v1","created_at":"2026-06-19T16:12:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.19346","created_at":"2026-06-19T16:12:22Z"},{"alias_kind":"pith_short_12","alias_value":"JJZPN2VWSKTG","created_at":"2026-06-19T16:12:22Z"},{"alias_kind":"pith_short_16","alias_value":"JJZPN2VWSKTGYDGV","created_at":"2026-06-19T16:12:22Z"},{"alias_kind":"pith_short_8","alias_value":"JJZPN2VW","created_at":"2026-06-19T16:12:22Z"}],"graph_snapshots":[{"event_id":"sha256:ebd6707633585e6493c38f8593de374498004ceb4ea613f4038518ff2563cfc1","target":"graph","created_at":"2026-06-19T16:12:22Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2606.19346/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We study cross-lingual transfer by fine-tuning seven large language models (4B--671B parameters) on Arabic and evaluating zero-shot reading comprehension on Semitic languages and non-Semitic controls. Across dense and Mixture-of-Experts architectures, we find no evidence of Semitic-specific transfer: models with weak baselines improve dramatically across all languages, while strong-baseline models show only marginal gains regardless of language family. A chain-of-thought ablation reinforces this finding -- the same models that benefit most from fine-tuning benefit equally from inference-time r","authors_text":"Ahmed Haj Ahmed, Alvin Grissom II, Ruochen Zhang","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-04-26T00:59:09Z","title":"Disentangling Linguistic Relatedness from Task Alignment in Cross-Lingual Transfer"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.19346","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:99966fe0af17f9654548285056b8a81b1827b909c1088ccf8b978e4bcef78c09","target":"record","created_at":"2026-06-19T16:12:22Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"8c86e40a1b54b248a926996d7a7aa26dd9326d0f090d876d4d309561ea783c51","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-04-26T00:59:09Z","title_canon_sha256":"afe55604361f4d6cab81e57fd508ac9ad93b748c90afc27a43bac1365f499a0f"},"schema_version":"1.0","source":{"id":"2606.19346","kind":"arxiv","version":1}},"canonical_sha256":"4a72f6eab692a66c0cd50973eb68f17f624459a2e20baba0c22b4c01cefc5797","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4a72f6eab692a66c0cd50973eb68f17f624459a2e20baba0c22b4c01cefc5797","first_computed_at":"2026-06-19T16:12:22.754985Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-19T16:12:22.754985Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"GUKGwJO2+N+RTGD12wiVr+9JAP/iUcRxeHKucdbgmLGjnozHcsIKGCx65ktQL8VSRLjb4cA2qj1o4YFwrmJMBw==","signature_status":"signed_v1","signed_at":"2026-06-19T16:12:22.755366Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.19346","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:99966fe0af17f9654548285056b8a81b1827b909c1088ccf8b978e4bcef78c09","sha256:ebd6707633585e6493c38f8593de374498004ceb4ea613f4038518ff2563cfc1"],"state_sha256":"86f0b4c26b54815a2246ef51f4067f58d02415e4294775d5a63e9945f9f7e36e"}